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Kaggle, ML Community / Engineering (Sanyam Bhutani)

Machine Learning Street Talk (MLST)

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The Necessity of Engineering Rigor in Data and Software Management

This chapter focuses on the importance of implementing engineering rigor in data and software engineering to prevent chaos in systems. It emphasizes the need for standard processes, access controls, and team education to mitigate errors and safeguard operational integrity.

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